Data Engineer
Core
Design and implement scalable data pipelines, analytics solutions, and data governance frameworks to support mobility, energy, connectivity, and health sectors.
Role type
Senior Data Engineer (Azure & Databricks)
Builds
Production data pipelines, data models, ETL processes, and interactive dashboards
Domain
Cloud Data Engineering (Azure, Databricks, Big Data)
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Azure Data Factory, Azure Databricks, Spark, Microsoft SQL Server, Azure Data Lake, ETL development, Data Warehousing, Generative AI tools (Azure OpenAI, Databricks Genie), version control (GitHub)
Preferred skills
Enterprise applications (SAP, Salesforce, Workday, Adaptive Planning)
Technologies
Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure SQL, Databricks Genie, Azure OpenAI
Responsibilities
Design and implement scalable data pipelines and analytics solutions using Azure services; Develop and maintain data models, ETL processes, and data integration workflows; Ensure data quality, governance, and security across all analytics platforms; Create interactive dashboards and visualizations to support business decision-making; Optimize performance of data systems and troubleshoot issues; Contribute to the development and deployment of machine learning models and statistical analyses
Seniority
Mid-to-Senior, hands-on IC
